head to head · open source

claude-mem vs humanizer

claude-mem has 110,572 GitHub stars, 9,645 forks, 186 open issues and last shipped yesterday. humanizer has 63,953 stars, 5,059 forks, 13 open issues and last shipped 6 days ago. claude-mem leads on adoption by 73% (110,572 vs 63,953 stars). claude-mem is written in TypeScript under Apache-2.0; humanizer is written in Python under MIT. claude-mem has attracted 9% as many forks as stars, humanizer 8%. claude-mem was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude, claude-code), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

claude-mem ★ 111K humanizer ★ 64K category AI & Machine Learning

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Side by side

claude-mem humanizer
GitHub stars ★ 111K ★ 64K
License Apache-2.0 MIT
Written in TypeScript Python
Last push 2026-11-02 2026-10-28
Forks ⑂ 9.6K ⑂ 5.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick claude-mem if

  • You weight community size — 111K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full claude-mem profile →

pick humanizer if

  • You want the humanizer feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and humanizer fits your workflow better

full humanizer profile →

About claude-mem

Claude Mem is now Grok Mem. The package is still claude mem . 🇨🇳 中文 • 🇹🇼 繁體中文 • 🇯🇵 日本語 • 🇵🇹 Português • 🇧🇷 Português • 🇰🇷 한국어 • 🇪🇸 Español • 🇩🇪 Deutsch • 🇫🇷 Français • 🇮🇱 עברית • 🇸🇦 العربية • 🇷🇺 Русский • 🇵🇱 Polski • 🇨🇿 Čeština • 🇳🇱 Nederlands • 🇹🇷 Türkçe • 🇺🇦 Українська • 🇻🇳 Tiếng Việt • 🇵🇭 Tagalog • 🇮🇩 Indonesia • 🇹🇭 ไทย • 🇮🇳 हिन्दी • 🇧🇩 বাংলা • 🇵🇰 اردو • 🇷🇴 Română • 🇸🇪 Svenska • 🇮🇹 Italiano • 🇬🇷 Ελληνικά • 🇭🇺 Magyar • 🇫🇮 Suomi • 🇩🇰 Dansk • 🇳🇴 Norsk Grok Mem is how Grok Bots remember. Sits next to Grok's own memory. Does not replace it. Quick…

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About humanizer

Humanizer Humanizer rewrites AI sounding text so it reads like a person wrote it, without changing what it says. Because it is just Markdown, it works with any agent that supports skills. Installation Install Humanizer with the Skills CLI: Leave off global to install Humanizer only in the current project. Add agent or agent ' ' to choose which agents receive it, then reload their skills. The skill answers to /humanizer . Claude Code 2.1.142 or newer can install the plugin instead: The plugin answers to /humanizer:humanizer . In Claude Desktop, download this repository as a ZIP and upload it as a skill. For a…

read the full humanizer overview →

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Frequently asked questions

Is claude-mem or humanizer more popular?

claude-mem has 110,572 GitHub stars and humanizer has 63,953. claude-mem has the larger community by that measure.

Are claude-mem and humanizer free?

Both are open source. claude-mem is licensed under Apache-2.0 and humanizer under MIT. Neither carries a licence fee.

What is the difference between claude-mem and humanizer?

claude-mem is written in TypeScript and humanizer in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, claude-mem or humanizer?

Choose claude-mem if you want the larger community (110,572 stars) or its Apache-2.0 licence terms. Choose humanizer if its feature set, stack or MIT licence fits better. Both are self-hostable.